shields/wav2vec2-base-dementiabank

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wav2vec2-base-dementiabank

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 11.0473
• —eval_wer: 1.0
• —eval_runtime: 3.3353
• —evalsamplesper_second: 2.399
• —evalstepsper_second: 0.3
• —epoch: 3.12
• —step: 200

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.5
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.11.3
• —Pytorch 1.10.0+cu111
• —Datasets 1.13.3
• —Tokenizers 0.10.3